The intelligence in an Intelligent System takes a journey from creation, to verification, to deployment, to lighting up for users, and finally to being monitored over time. Intelligence management bridges the gap between intelligence creation (which is discussed in Part IV of this book) and intelligence orchestration (which is discussed in Part V), by making it safer and easier to deploy new intelligence and enable it for users.
At its simplest, intelligence management might involve hand-copying model files to a deployment directory where the runtime picks them up and exposes ...
